Deep Survival Analysis in Sales

These sources examine the integration of artificial intelligence into modern sales and marketing strategies, emphasizing techniques for lead prioritization and the mitigation of algorithmic bias. Research highlights how machine learning models, such as Gradient Boosting and Deep Survival Analysis, outperform traditional methods by predicting conversion probabilities and identifying the optimal time to terminate unsuccessful sales calls. Despite these technical gains, the texts warn that human oversight remains essential to validate AI outputs and provide the empathy required for complex negotiations. Federal regulators like the FTC further caution businesses to remain transparent and accountable to prevent discriminatory outcomes in automated decision-making. Ultimately, the documents advocate for a collaborative framework where data-driven efficiency is balanced by human judgment and ethical governance.